Recursos.md

Recursos sobre ciencia reproducible

Recursos generales sobre reproducibilidad

• Reproducible research in computational science

• Nature special: Challenges in irreproducible research

• Ten simple rules for reproducible computational research

• Best practices for scientific computing

• Good enough practices for scientific computing

• Initial steps toward reproducible research

• Tools for reproducible research

• The tao of open science for ecology

• Towards standard practices for sharing computer code and programs in neuroscience

• Reproducible research is still a challenge

• rOpenSci reproducibility guide

• Reproducible research course

• Report writing for data science in R

• Implementing reproducible research

• Reproducible Research with R and Rstudio

• Digital History Methods in R

• Doing reproducible science: from your hard-won data to a publishable manuscript without going mad

Manejo de datos

• A guide to data management in ecology and evolution (British Ecological Society)

• Ecoinformatics: supporting ecology as a data-intensive science

• Ten simple rules for the care and feeding of scientific data

• Ten simple rules for digital data storage

• Nine simple ways to make it easier to (re)use your data

• Ten simple rules for creating a good data management plan

• Data Management Planning Tool

• Ejemplo de data management plan

• Bad data guide

• Data Carpentry Spreadsheets for Ecology

• DataONE Best Practices

• Tidy data

• Spreadsheet help

• Data organization

• Repositorios de datos

• Open Science Framework

• Paquetes de rOpenSci para publicación de datos

• Paquete de R para interaccionar con Open Science Framework

• Ecological Metadata Language

• The what, why, and how of born-open data

Análisis de datos y documentos dinámicos

• knitr

• rmarkdown

• IPython

• Jupyter

• Interactive notebooks: sharing the code

• Dynamic documents with R and knitr

• Report writing for data science in R

• Implementing reproducible research

• Reproducible Research with R and Rstudio

Control de versiones (Git & GitHub)

• Why you need version control

• A Quick Introduction to Version Control with Git and GitHub

• Git can facilitate greater reproducibility and increased transparency in science

• Git and GitHub (Hadley Wickham)

• R development using GitHub

• Happy Git and GitHub for the useR

• Working with RStudio, Git, GitHub (STAT 545)

• Version control with git (R. Fitzjohn)

• Version control with Git (Software Carpentry)

• A basic tutorial to version control using git (Jon Lefcheck)

• Push, Pull, Fork - GitHub for academics

• Git for beginners - the definitive practical guide (Stackoverflow)

• Git - the simple guide

• Code School Git intro

• GitHub tutorial (Karl Broman)

• Getting git right (Atlassian)

• Hello World (GitHub first steps)

• GitHub guides

Organización de proyectos y creación de paquetes

• A quick guide to organizing computational biology projects

• Reproducible Research Project Initialization

• Designing projects

• Rstudio projects

• Using R packages as research compendiums

• R packages (H. Wickham)

• R packages (K. Broman)

• Choose a license

• A minimal tutorial on make (K. Broman)

• remake

Manejo de dependencias

• rctrack: An R package that automatically collects and archives details for reproducible computing

• checkpoint package

• packrat: reproducible package management for R

• Enhancing reproducibility and collaboration via management of R package cohorts

• An introduction to Docker for reproducible research

• R Docker tutorial

• drat: R repositories made easy

Para un listado actualizado, consultar https://github.com/ecoinfAEET/Reproducibilidad